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Optimization of Neural Network Combining Genetic Algorithm and Sample Weight in Wave Energy Prediction

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Experimental and numerical investigation of non-predictive phase-control strategies for a point-absorbing wave energy converter
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Hybrid machine learning models for predicting short-term wave energy flux
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An integrated approach using empirical wavelet transform and a convolutional neural network for wave power prediction
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Ocean wave energy converters: Technical principle, device realization, and performance evaluation
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The effect of initial weights on premature saturation in back-propagation learning
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Multi-step forecasting of wave power using a nonlinear recurrent neural network
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A GA-BP hybrid algorithm based ANN model for wind power prediction
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Deep Adaptive Input Normalization for Time Series Forecasting
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Convolutional Neural Network based power generation prediction of wave energy converter
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Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control
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What is the Effect of Importance Weighting in Deep Learning?
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